Given a collection of integers that might contain duplicates, S, return all possible subsets.
Note:
Elements in a subset must be in non-descending order.
The solution set must not contain duplicate subsets.
For example,
If S = [1, 2], a solution is:
[
[2],
[1],
[1, 2],
[2, 2],
[1, 2],
[]
]
This once made me catch chicken very much... Why is a bad dfs used this time? It is a one-time pass, and it is a large set of 80 ms .... Too Ironic...
class Solution { set<vector<int>> result;public: void dfs(vector<int>&S, int i, vector<int> tmp){ if(i == S.size()){ sort(tmp.begin(), tmp.end()); result.insert(tmp); return; } dfs(S, i+1, tmp); tmp.push_back(S[i]); dfs(S, i+1, tmp); } vector<vector<int> > subsetsWithDup(vector<int> &S) { // Start typing your C/C++ solution below // DO NOT write int main() function result.clear(); vector<int> tmp; dfs(S, 0, tmp); set<vector<int>>::iterator it; vector<vector<int>> ret; for(it = result.begin(); it!=result.end(); it++){ ret.push_back(*it); } return ret; }};